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Mistral Large 2 vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Mistral Large 2 leads with 2.5% higher average benchmark score. Mistral Large 2 offers 116.7K more tokens in context window than Qwen2.5 7B Instruct. Qwen2.5 7B Instruct is $7.40 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Mistral Large 2 was introduced as the second generation of Mistral's flagship model, designed to provide frontier-level capabilities across diverse language tasks. Built with enhanced reasoning, coding, and multilingual abilities, it represents Mistral's most advanced offering for enterprise and demanding applications.
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Alibaba Cloud / Qwen Team
Qwen 2.5 7B was created as an efficient instruction-tuned model, designed to provide capable performance with just 7 billion parameters. Built for applications requiring reliable language understanding with minimal computational overhead, it serves as an accessible entry point to the Qwen 2.5 family.
1 month newer
Mistral Large 2
Mistral AI
2024-07-24
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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Pricing Comparison
Cost per million tokens (USD)
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Mistral Large 2
Input:$2.00
Output:$6.00
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Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30($7.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Mistral Large 2
Average Score:90.4%(+2.5%)
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Qwen2.5 7B Instruct
Average Score:88.0%
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Large 2
2 providers
Throughput: 42 tok/s
Latency: 0.4ms
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
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Mistral Large 2
Avg Score:90.4%(+2.5%)
Providers:2
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Qwen2.5 7B Instruct
Avg Score:88.0%
Providers:1